Instructions to use ProbeX/Model-J__DINO__model_idx_0803 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProbeX/Model-J__DINO__model_idx_0803 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ProbeX/Model-J__DINO__model_idx_0803") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("ProbeX/Model-J__DINO__model_idx_0803") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0803") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5bc7ce26b0c8f2b804e9204a7007080f33bb54f0ff54a5bef40bd0873777056
- Size of remote file:
- 5.37 kB
- SHA256:
- 4c4c7eb4e243bbcd33462e40b4f9c3ef136fa676ab69a3355ca8e3cc4a430d3b
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